Iain Murray - RankMe

71 papers A* 11A 11Misc 1Journal 34Unranked 14

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Nudging Neural Click Prediction Models to Pay Attention to Position. CIKM Efi Karra Taniskidou, Wenjie Zhao, Iain Murray, Roberto Pellegrini
2022	A	`conf`	Don't recommend the obvious: estimate probability ratios. RecSys Roberto Pellegrini, Wenjie Zhao, Iain Murray
2021	A*	`conf`	CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. AAAI Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras
2021	J	`jnl`	Lossless compression with state space models using bits back coding. CoRR James Townsend, Iain Murray
2021	A*	`conf`	Maximum Likelihood Training of Score-Based Diffusion Models. NeurIPS Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
2020	J	`jnl`	Density Deconvolution with Normalizing Flows. CoRR Tim Dockhorn, James A. Ritchie, Yaoliang Yu, Iain Murray
2020	J	`jnl`	Diverse Ensembles Improve Calibration. CoRR Asa Cooper Stickland, Iain Murray
2020	A*	`conf`	On Contrastive Learning for Likelihood-free Inference. ICML Conor Durkan, Iain Murray, George Papamakarios
2020	J	`jnl`	On Contrastive Learning for Likelihood-free Inference. CoRR Conor Durkan, Iain Murray, George Papamakarios
2020	J	`jnl`	Ordering Dimensions with Nested Dropout Normalizing Flows. CoRR Artur Bekasov, Iain Murray
2019	A*	`conf`	BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning. ICML Asa Cooper Stickland, Iain Murray
2019	J	`jnl`	BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning. CoRR Asa Cooper Stickland, Iain Murray
2019	J	`jnl`	CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. CoRR Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras
2019	J	`jnl`	Cubic-Spline Flows. CoRR Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019	J	`jnl`	Dynamic Evaluation of Transformer Language Models. CoRR Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals
2019	—	`conf`	Mode Normalization. ICLR (Poster) Lucas Deecke, Iain Murray, Hakan Bilen
2019	A*	`conf`	Neural Spline Flows. NeurIPS Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019	J	`jnl`	Neural Spline Flows. CoRR Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019	J	`jnl`	Scalable Extreme Deconvolution. CoRR James A. Ritchie, Iain Murray
2019	A	`conf`	Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. AISTATS George Papamakarios, David C. Sterratt, Iain Murray
2018	J	`jnl`	Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting. CoRR Artur Bekasov, Iain Murray
2018	A*	`conf`	Dynamic Evaluation of Neural Sequence Models. ICML Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals
2018	J	`jnl`	Mode Normalization. CoRR Lucas Deecke, Iain Murray, Hakan Bilen
2018	J	`jnl`	Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. CoRR George Papamakarios, David C. Sterratt, Iain Murray
2018	J	`jnl`	Sequential Neural Methods for Likelihood-free Inference. CoRR Conor Durkan, George Papamakarios, Iain Murray
2017	—	`conf`	Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media. EACL (1) Philippa Shoemark, Debnil Sur, Luke Shrimpton, Iain Murray, Sharon Goldwater
2017	J	`jnl`	Dynamic Evaluation of Neural Sequence Models. CoRR Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals
2017	A	`conf`	Markov Chain Truncation for Doubly-Intractable Inference. AISTATS Colin Wei, Iain Murray
2017	—	`conf`	Masked Autoregressive Flow for Density Estimation. NIPS George Papamakarios, Iain Murray, Theo Pavlakou
2017	J	`jnl`	Masked Autoregressive Flow for Density Estimation. CoRR George Papamakarios, Theo Pavlakou, Iain Murray
2017	—	`conf`	Multiplicative LSTM for sequence modelling. ICLR (Workshop) Ben Krause, Iain Murray, Steve Renals, Liang Lu
2016	J	`jnl`	Differentiation of the Cholesky decomposition. CoRR Iain Murray
2016	—	`conf`	Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. NIPS George Papamakarios, Iain Murray
2016	J	`jnl`	Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation. CoRR George Papamakarios, Iain Murray
2016	J	`jnl`	Markov Chain Truncation for Doubly-Intractable Inference. CoRR Colin Wei, Iain Murray
2016	J	`jnl`	Multiplicative LSTM for sequence modelling. CoRR Ben Krause, Liang Lu, Iain Murray, Steve Renals
2016	J	`jnl`	Neural Autoregressive Distribution Estimation. CoRR Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
2016	J	`jnl`	Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
2016	A	`conf`	Pseudo-Marginal Slice Sampling. AISTATS Iain Murray, Matthew M. Graham
2015	A*	`conf`	MADE: Masked Autoencoder for Distribution Estimation. ICML Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
2015	J	`jnl`	MADE: Masked Autoencoder for Distribution Estimation. CoRR Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
2015	Misc	`conf`	Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE. ICASSP Benigno Uria, Iain Murray, Steve Renals, Cassia Valentini-Botinhao, John Bridle
2014	A*	`conf`	A Deep and Tractable Density Estimator. ICML Benigno Uria, Iain Murray, Hugo Larochelle
2014	J	`jnl`	Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes. CoRR Ryan Prescott Adams, George E. Dahl, Iain Murray
2014	J	`jnl`	Parallel MCMC with generalized elliptical slice sampling. J. Mach. Learn. Res. Robert Nishihara, Iain Murray, Ryan P. Adams
2013	—	`conf`	A Composable Strategy for Shredded Document Reconstruction. CAIP (2) Razvan Ranca, Iain Murray
2013	J	`jnl`	A Deep and Tractable Density Estimator. CoRR Benigno Uria, Iain Murray, Hugo Larochelle
2013	J	`jnl`	A framework for evaluating approximation methods for Gaussian process regression. J. Mach. Learn. Res. Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
2013	J	`jnl`	Attention as Reward-Driven Optimization of Sensory Processing. Neural Comput. Matthew Chalk, Iain Murray, Peggy Seriès
2013	J	`jnl`	Estimation Bias in Maximum Entropy Models. Entropy Jakob H. Macke, Iain Murray, Peter E. Latham
2013	J	`jnl`	NADE: The real-valued neural autoregressive density-estimator. CoRR Benigno Uria, Iain Murray, Hugo Larochelle
2013	—	`conf`	RNADE: The real-valued neural autoregressive density-estimator. NIPS Benigno Uria, Iain Murray, Hugo Larochelle
2012	J	`jnl`	A Framework for Evaluating Approximation Methods for Gaussian Process Regression CoRR Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
2012	J	`jnl`	Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms CoRR Iain Murray, Zoubin Ghahramani
2012	A	`conf`	Deep Architectures for Articulatory Inversion. INTERSPEECH Benigno Uria, Iain Murray, Steve Renals, Korin Richmond
2011	—	`conf`	How biased are maximum entropy models? NIPS Jakob H. Macke, Iain Murray, Peter E. Latham
2011	A	`conf`	The Neural Autoregressive Distribution Estimator. AISTATS Hugo Larochelle, Iain Murray
2010	A	`conf`	Elliptical slice sampling. AISTATS Iain Murray, Ryan Prescott Adams, David J. C. MacKay
2010	J	`jnl`	Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes CoRR Ryan Prescott Adams, George E. Dahl, Iain Murray
2010	A	`conf`	Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes. UAI Ryan Prescott Adams, George E. Dahl, Iain Murray
2010	—	`conf`	Slice sampling covariance hyperparameters of latent Gaussian models. NIPS Iain Murray, Ryan Prescott Adams
2009	A*	`conf`	Evaluation methods for topic models. ICML Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov, David M. Mimno
2009	A*	`conf`	Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. ICML Ryan Prescott Adams, Iain Murray, David J. C. MacKay
2008	—	`conf`	Characterizing response behavior in multisensory perception with conflicting cues. NIPS Rama Natarajan, Iain Murray, Ladan Shams, Richard S. Zemel
2008	—	`conf`	Evaluating probabilities under high-dimensional latent variable models. NIPS Iain Murray, Ruslan Salakhutdinov
2008	A*	`conf`	On the quantitative analysis of deep belief networks. ICML Ruslan Salakhutdinov, Iain Murray
2008	—	`conf`	The Gaussian Process Density Sampler. NIPS Ryan Prescott Adams, Iain Murray, David J. C. MacKay
2006	A	`conf`	MCMC for Doubly-intractable Distributions. UAI Iain Murray, Zoubin Ghahramani, David J. C. MacKay
2005	—	`conf`	A Pragmatic Bayesian Approach to Predictive Uncertainty. MLCW Iain Murray, Edward Lloyd Snelson
2005	—	`conf`	Nested sampling for Potts models. NIPS Iain Murray, David J. C. MacKay, Zoubin Ghahramani, John Skilling
2004	A	`conf`	Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms. UAI Iain Murray, Zoubin Ghahramani